DocumentCode :
228
Title :
Accelerometry-Based Gait Analysis and Its Application to Parkinson´s Disease Assessment— Part 2 : A New Measure for Quantifying Walking Behavior
Author :
Yoneyama, Mitsuru ; Kurihara, Yosuke ; Watanabe, K. ; Mitoma, Hiroshi
Author_Institution :
Mitsubishi Chem. Group Sci. & Technol. Res. Center, Yokohama, Japan
Volume :
21
Issue :
6
fYear :
2013
fDate :
Nov. 2013
Firstpage :
999
Lastpage :
1005
Abstract :
Gait analysis is a valuable tool for obtaining quantitative information on motor deficits in Parkinson´s disease (PD). Since the characteristic gait patterns of PD patients may not be fully identified by brief examination in a clinic, long-term, and unobtrusive monitoring of their activities is essential, especially in a nonclinical setting. This paper describes a single accelerometer-based gait analysis system for the assessment of ambulatory gait properties. Acceleration data were recorded continuously for up to 24 h from normal and PD subjects, from which gait peaks were picked out and the relationship between gait cycle and vertical gait acceleration was evaluated. By fitting a model equation to the relationships, a quantitative index was obtained for characterizing the subjects´ walking behavior. The averaged index for PD patients with gait disorder was statistically smaller than the value for normal subjects. The proposed method could be used to evaluate daily gait characteristics and thus contribute to a more refined diagnosis and treatment of the disease.
Keywords :
accelerometers; bioelectric potentials; diseases; gait analysis; medical signal detection; medical signal processing; Parkinson disease assessment; accelerometer-based gait analysis system; ambulatory gait property assessment; characteristic gait pattern; equation model; gait cycle evaluation; gait disorder; motor deficit; time 24 h; vertical gait acceleration evaluation; walking behavior quantification; Accelerometers; Parkinson´s disease (PD); biomedical signal processing; gait analysis; Acceleration; Actigraphy; Aged; Diagnosis, Computer-Assisted; Female; Gait; Gait Disorders, Neurologic; Humans; Male; Parkinson Disease; Reproducibility of Results; Sensitivity and Specificity; Severity of Illness Index; Walking;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2013.2268251
Filename :
6542732
Link To Document :
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